4 projects for "principle component analysis" with 2 filters applied:

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  • 1
    C3

    C3

    The goal of CLAIMED is to enable low-code/no-code rapid prototyping

    ...It also aims to support trusted and explainable AI systems by integrating tools for fairness analysis, explainability, and adversarial robustness.
    Downloads: 0 This Week
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  • 2
    Kodezi Chronos

    Kodezi Chronos

    Kodezi Chronos is a debugging-first language model

    Kodezi Chronos is a research project focused on developing a specialized language model designed specifically for debugging software and understanding large code repositories. Unlike general-purpose language models that focus primarily on code generation, Chronos is built to diagnose and repair bugs by analyzing complex relationships across files within a codebase. The project introduces architectural techniques such as Adaptive Graph-Guided Retrieval, which allows the system to navigate...
    Downloads: 0 This Week
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  • 3
    MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
    Downloads: 0 This Week
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  • 4
    spark-ml-source-analysis

    spark-ml-source-analysis

    Spark ml algorithm principle analysis and specific source code

    spark-ml-source-analysis is a technical repository that analyzes the internal implementation of machine learning algorithms within Apache Spark’s MLlib library. The project aims to help developers and data scientists understand how distributed machine learning algorithms are implemented and optimized inside the Spark ecosystem. Instead of providing a runnable software system, the repository focuses on explaining algorithm principles and examining the underlying source code used in Spark’s...
    Downloads: 0 This Week
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